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EUROSSC
2007
Springer

Behavior Detection Based on Touched Objects with Dynamic Threshold Determination Model

9 years 10 months ago
Behavior Detection Based on Touched Objects with Dynamic Threshold Determination Model
We are developing a context-aware application for use in homes, which detects high-level user behavior, such as “leaving the home” and “going to bed”, and provides services according to the behavior proactively. To detect user behavior, a behavioral pattern is created by extracting frequent characteristics from the user’s behavior logs acquired from sensors online, using an extraction threshold based on the criterion of frequency. Most context-aware applications need to determine such a threshold. A conventional model determines a fixed common threshold value for all users. However, the common value is improper for some users because proper values vary among users. This paper proposes a detection method of high-level behavior with a model for determining the threshold value dynamically according to individual behavioral pattern.
Hiroyuki Yamahara, Hideyuki Takada, Hiromitsu Shim
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where EUROSSC
Authors Hiroyuki Yamahara, Hideyuki Takada, Hiromitsu Shimakawa
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